Articles, tutorials, videos and tools to perform software in a DevOps context like testing in production, continuous delivery, etc.
The technical presentation touches on topics such as test automation framework design, hermetic servers, Docker containers, architecture for testability, test environments provisioning, DevOps collaboration, testing when depending on internal and external services, the joys and pitfalls of parallel execution.
The DevOps approach has been sometimes considered as a thread for software testers, as it might be a trick to minimize the software testing activities. In this article, Tom Gilmore explains why DevOps should be considered as an opportunity for software quality assurance (QA) as it will support the move towards test automation.
One of the main trends in software development is to deliver software more quickly. DevOps, continuous delivery or continuous integration are some of the approaches that have been promoted recently to achieve this goal. In their article “DevOps Advantages for Testing”, Gene Gotimer and Thomas Stiehm discusses the advantages that these approaches could provide to software testing and software quality.
The docker-selenium project is about packaging selenium grid as Docker containers https://github.com/seleniumhq/docker-selenium. To me this means I don’t have to build any selenium infrastructure machines. I just run the provided images by docker-selenium project.
Automated visual testing is a major emerging trend in the dev / test community. Learn what visual testing is and why it should be automated. We will take a deep dive into some of the technological challenges involved with visual test automation and show how modern tools address them. We will demo cutting edge technologies that enable running cross browser and cross device visual tests, and provide key tips for succeeding with large scale visual testing.
One of the problems we face in automated system testing is how to setup and manage the life cycle of the included applications. Traditional virtualisation technologies can provide solutions to these problems, but at the price of heavy resources requirements and unacceptably long startup times. Docker on the other hand, with lower resource requirements and shorter application startup times, has seen a lot of interest lately for looking like a better fit for automated system testing.
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